Medical Imaging

The lab contributes to the Organizing and Program Committees of MICCAI'25

Our lab is proud to contribute to the organization of MICCAI'25. Prof. Dr. Shadi Albarqouni serves as a member of the Outreach Committee, and Dr. Elodie Germani will serve an Area Chair at MICCAI'25

BA/MA thesis on Modeling brain changes related to physical activity with machine learning

Abstract. In the last decade, several studies suggested that physical fitness may positively influence brain and cardiovascular health. Brain health is usually assessed through structural and functional imaging techniques to extract biomarkers of aging that can be used to predict brain age ( Dunås et al.

Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders

Bonn International Fellowships (2024 - 2025)

CIR/01/2024: Ph.D. position in AI in Medicine with Large Language Models (m/f/d)

starting Dec 2024 or as agreed upon. The position is initially limited to three years, with the possibility of extension.

MA Thesis: Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma

Abstract: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers, with lymph node metastasis (LNM) being a critical determinant in patient prognosis and therapeutic planning [1-2]. Conventional methods for detecting LNM in PDAC primarily rely on contrast-enhanced CT scans, but these often fall short in sensitivity, especially in early-stage disease.

CIR/02/2024: Research Manager (m/f/d)

starting Nov 2024 or as agreed upon. The position is initially limited to two years, with the possibility of extension.

CIR/03/2024: Postdoc/Research Staff position in Computational Medical Imaging (m/f/d)

starting Nov. 2024 or as agreed upon. The position is initially limited to two years.

MA Thesis: Development of a Machine Learning Algorithm for Histopathological Classification of Conjunctival Melanocytic Intraepithelial Lesions -- Not available

Abstract. Conjunctival Melanocytic Intraepithelial Lesions (CMIL) are a significant precursor to conjunctival melanoma, a rare but potentially fatal ocular cancer. The histopathological classification of CMIL is crucial for early diagnosis and treatment planning.

MA Thesis: Investigating Bias in AI Algorithms for Breast Cancer Detection from Mammography Imaging: A Focus on Generalization to Unseen Populations

Abstract. Breast density is a critical factor in breast cancer risk and detection, influencing the effectiveness of mammography. Higher breast density, characterized by a greater proportion of fibroglandular tissue relative to fatty tissue, is associated with a four- to sixfold increase in breast cancer risk.

MA Thesis: Deep Learning for Brain MRI Image Quality Transfer -- Not available

Abstract. Magnetic Resonance Imaging (MRI) plays a vital role in modern diagnostics, offering detailed, non-invasive insights into human anatomy [1-2]. High-field MRI (HF-MRI) systems, which operate at higher magnetic field strengths, provide superior image resolution and contrast compared to low-field MRI (LF-MRI) systems [3-4].